scholarly journals Finding Their Data Voice: Practices and Challenges of Dashboard Users

2021 ◽  
Author(s):  
Melanie Tory ◽  
Lyn Bartram ◽  
Brittany Fiore-Gartland ◽  
Anamaria Crisan
Keyword(s):  
Data Communication ◽  
Interview Study ◽  
Data Capture ◽  
Design Tools ◽  
Data Reporting ◽  
Data Practices ◽  
Data Consumption ◽  
Work Contexts

Dashboards are the ubiquitous means of data communication within organizations.Yet we have limited understanding of how they factor into data practices in the workplace, particularly for data workers who do not self-identify as professional analysts. We focus on data workers who use dashboards as a primary interface to data, reporting on an interview study that characterizes their data practices and the accompanying barriers to seamless data interaction.While dashboards are typically designed for data consumption, our findings show that dashboard users have far more diverse needs. To capture these activities, we frame data workers’ practices as data conversations:conversations with data capture classic analysis(asking and answering data questions), while conversations through and around data involve constructing representations and narratives for sharing and communication. Dashboard users faced substantial barriers in their data conversations: their engagement with data was often intermittent, dependent on experts, and involved an awkward assembly of tools. We challenge the visualization and analytics community to embrace dashboard users as a population and design tools that blend seamlessly into their work contexts

scholarly journals KLASIFIKASI PENGGUNAAN PROTOKOL KOMUNIKASI PADA TRAFIK JARINGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR

2016 ◽  
Vol 16 (1) ◽  
pp. 67
Author(s):  
Komang Kompyang Agus Subrata ◽  
I Made Oka Widyantara ◽  
Linawati Linawati
Keyword(s):  
Quality Of Service ◽  
Network Traffic ◽  
Network Architecture ◽  
Nearest Neighbor ◽  
Computer Network ◽  
Data Communication ◽  
Data Capture ◽  
K Nearest Neighbor ◽  
High Level

ABSTRACT—Network traffic internet is data communication in a network characterized by a set of statistical flow with the application of a structured pattern. Structured pattern in question is the information from the packet header data. Proper classification to an Internet traffic is very important to do, especially in terms of the design of the network architecture, network management and network security. The analysis of computer network traffic is one way to know the use of the computer network communication protocol, so it can be the basis for determining the priority of Quality of Service (QoS). QoS is the basis for giving priority to analyzing the network traffic data. In this study the classification of the data capture network traffic that though the use of K-Neaerest Neighbor algorithm (K-NN). Tools used to capture network traffic that wireshark application. From the observation of the dataset and the network traffic through the calculation process using K-NN algorithm obtained a result that the value generated by the K-NN classification has a very high level of accuracy. This is evidenced by the results of calculations which reached 99.14%, ie by calculating k = 3. Intisari—Trafik jaringan internet adalah lalu lintas ko­mu­nikasi data dalam jaringan yang ditandai dengan satu set ali­ran statistik dengan penerapan pola terstruktur. Pola ter­struktur yang dimaksud adalah informasi dari header paket data. Klasifikasi yang tepat terhadap sebuah trafik internet sa­ngat penting dilakukan terutama dalam hal disain perancangan arsitektur jaringan, manajemen jaringan dan keamanan jari­ngan. Analisa terhadap suatu trafik jaringan komputer meru­pakan salah satu cara mengetahui penggunaan protokol komu­nikasi jaringan komputer, sehingga dapat menjadi dasar pe­nen­tuan prioritas Quality of Service (QoS). Dasar pemberian prio­ritas QoS adalah dengan penganalisaan terhadap data trafik jaringan. Pada penelitian ini melakukan klasifikasi ter­hadap data capture trafik jaringan yang di olah menggunakan Algoritma K-Neaerest Neighbor (K-NN). Apli­kasi yang digu­nakan untuk capture trafik jaringan yaitu aplikasi wireshark. Hasil observasi terhadap dataset trafik jaringan dan melalui proses perhitungan menggunakan Algoritma K-NN didapatkan sebuah hasil bahwa nilai yang dihasilkan oleh klasifikasi K-NN memiliki tingkat keakuratan yang sangat tinggi. Hal ini dibuktikan dengan hasil perhi­tungan yang mencapai nilai 99,14 % yaitu dengan perhitungan k = 3. DOI: 10.24843/MITE.1601.10

Ethical Benefits and Drawbacks of Digitally Informed Consent

2022 ◽  
pp. 101-123
Author(s):  
Wendy Charles ◽  
Ruth Magtanong
Keyword(s):  
Informed Consent ◽  
Private Information ◽  
Rapid Growth ◽  
Digital Technologies ◽  
Data Capture ◽  
Electronic Data Capture ◽  
Ethical Guidelines ◽  
Data Practices ◽  
User Design ◽  
Digital Methods

As organizations steadily adopt remote and virtual capabilities, informed consent processes are increasingly managed by digital technologies. These digital methods are generating novel opportunities to collect individuals' permissions for use of private information but are blurring traditional boundaries of consent communication and documentation. Therefore, the rapid growth of digital technologies used for informed consent as well as the sheer volume of data resulting from electronic data capture are generating complex questions about individual engagement and data practices. This chapter presents emerging risks, benefits, and ethical principles about digital informed consent methods and technologies. For the areas where digital informed consent creates ethical uncertainties, ethical guidelines and user-design recommendations are provided.

scholarly journals Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development

2019 ◽  
Vol 11 (15) ◽  
pp. 1797 ◽  
Author(s):  
Jane Wyngaard ◽  
Lindsay Barbieri ◽  
Andrea Thomer ◽  
Josip Adams ◽  
Don Sullivan ◽  
...  
Keyword(s):  
Data Management ◽  
Remote Sensing Data ◽  
Unmanned Aircraft ◽  
Data Capture ◽  
Use Cases ◽  
Complex Data ◽  
Data Practices ◽  
Wide Range ◽  
Near Future

The use of small Unmanned Aircraft Systems (sUAS) as platforms for data capture has rapidly increased in recent years. However, while there has been significant investment in improving the aircraft, sensors, operations, and legislation infrastructure for such, little attention has been paid to supporting the management of the complex data capture pipeline sUAS involve. This paper reports on a four-year, community-based investigation into the tools, data practices, and challenges that currently exist for particularly researchers using sUAS as data capture platforms. The key results of this effort are: (1) sUAS captured data—as a set that is rapidly growing to include data in a wide range of Physical and Environmental Sciences, Engineering Disciplines, and many civil and commercial use cases—is characterized as both sharing many traits with traditional remote sensing data and also as exhibiting—as common across the spectrum of disciplines and use cases—novel characteristics that require novel data support infrastructure; and (2), given this characterization of sUAS data and its potential value in the identified wide variety of use case, we outline eight challenges that need to be addressed in order for the full value of sUAS captured data to be realized. We conclude that there would be significant value gained and costs saved across both commercial and academic sectors if the global sUAS user and data management communities were to address these challenges in the immediate to near future, so as to extract the maximal value of sUAS captured data for the lowest long-term effort and monetary cost.

Perceptions of Terrorism: An Interview Study of Muslim Families in Germany

2011 ◽  
Author(s):  
Anna Dorothea Ursula Moellering ◽  
David Schiefer
Keyword(s):  
Interview Study

What Happens When Data Communication Fails? - A Simulation Study

2011 ◽  
Author(s):  
Sehchang Hah ◽  
Ben Willems ◽  
Kenneth Schulz
Keyword(s):  
Simulation Study ◽  
Data Communication

Soldier-Centered Design Tools: Recent Developments, Challenges, and Paths Forward

2005 ◽  
Author(s):  
John K. Hawley ◽  
John F. Lockett ◽  
Laurel E. Allender
Keyword(s):  
Design Tools ◽  
Recent Developments

Optical Scanning for Large-Scale Studies

1975 ◽  
Vol 14 (01) ◽  
pp. 32-34
Author(s):  
Elisabeth Schach
Keyword(s):  
Large Scale ◽  
Error Rates ◽  
Data Reporting ◽  
Reading Error ◽  
Optical Scanning ◽  
Rejection Rates

Data reporting the experience with an optical mark page reader is presented (IBM 1231Ν1). Information from 52,000 persons was gathered in seven countries, decentrally coded and centrally processed. Reader performance rates (i.e. sheets read per hour, sheet rejection rates, reading error rates) and costs (coding, verification, reading, etc.) are given.

Sign in / Sign up

Export Citation Format

Share Document